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Complex Discrete Manufacturing with ThingWorx Analytics - ThingWorx Industrial IoT Case Study
Complex Discrete Manufacturing with ThingWorx Analytics
ABC faced two major issues when utilizing the data collected. One is the size, complexity, and disparity of the data collected would take lot of man-hours to process and evaluate. Two is real-time data cannot be put into use due to the nature of data science analysis.
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DeviceLynk Delivers Customized IIoT Solution - ThingWorx Industrial IoT Case Study
DeviceLynk Delivers Customized IIoT Solution
Previously to working with ThingWorx, DeviceLynk built an IIoT platform but found it lacked scalability. They needed something to capture and handle data from an unlimited amount of devices and customers.
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LumenData Delivers Real-time Predictive Analytics through IoT - ThingWorx Industrial IoT Case Study
LumenData Delivers Real-time Predictive Analytics through IoT
In 2013, LumenData found itself in need of adding new real-time predictive analytics capabilities to its suite of services. To meet this need, LumenData acquired a state-of-the-art streaming data, capture and real-time predictive analytics company. This solved the pure predictive analytics end, but left LumenData with a need to be able to build IoT-targeted services.From an IoT perspective, LumenData was still missing the means to create suitable applications and dashboards that would make it easy for its customers to effortlessly make sense of whatever predictive analysis they might require.
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Smart, Connected Applications Maximize Agricultural Business Performance - ThingWorx Industrial IoT Case Study
Smart, Connected Applications Maximize Agricultural Business Performance
OnFarm needed to move quickly to capitalize on a significant "smart agriculture" opportunity to build connected applications and dashboards that captured and monitored sensors in the field and provided actionable data back to their customers. The overall solution OnFarm determined necessary was a set of "dashboard-driven connected services utilizing an IoT backend" that would accomplish several key things: • Easily collect data from incompatible sensors via wireless networks • Provide a means to integrate, analyze, and correlate different data sets of information into easily-understood and easy-to-customize reports leading to specific actionable outcomes • Manage end-user permissions, distribute reports and business intelligence through a customizable Web interface that would include dashboards, allowing custom organization of data applicable to the business employing OnFarm's suite of services
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Springpath Gains Real-Time Intelligence and Improves Operational Efficiencies - ThingWorx Industrial IoT Case Study
Springpath Gains Real-Time Intelligence and Improves Operational Efficiencies
As the HCI market has grown increasingly crowded, Springpath sought to differentiate itself by providing enhanced serviceability to its customers. But it was lacking in its ability to provide fast customer issue resolution for both hardware and software components and in its ability to get meaningful, real-time intelligence from data. Springpath needed to create better operational efficiencies for its support organization. To better service its customers, Springpath would need a solution to resolve customer issues faster while collecting real-time customer data from systems to extract better insights for both internal support teams and end customers alike. Building a solution would require quick ingest and parsing of data – which was at the time often sent in the form of complex log files – and the ability to present it as actionable information. Further, a solution would need to enable support engineers to provide quick issue resolution to minimize downtime. Ideally, Springpath wanted customers to get full visibility into their own systems – and thereby be able to perform timely maintenance tasks – with the goal of maximizing uptime and ensuring optimal system performance. In addition, a solution should integrate with their issue management system, Salesforce.com Service Portal, for easy access for both the in-house support team and end-customers. “Offering world-class Customer Service in the IoT era requires a comprehensive and scalable Analytics platform that is well-integrated with an existing Support workflow,” says Brett Flinchum, VP of Global Customer Success at Springpath.
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Delivers Business Differentiation to Vantron - ThingWorx Industrial IoT Case Study
Delivers Business Differentiation to Vantron
Taking advantage of the fast growth of China and the growing demands in embedded computer systems, Vantron technology was established in 2002 by Silicon Valley professionals and headquartered in Chengdu, China. In addition to readyto-run low-power embedded systems, Vantron also provides assistance in application software development, tailoring its embedded systems based on customers’ requirements, and offering turn-key manufacturing services. With customers in industries such as healthcare, heavy equipment, vehicle tracking and telematics, looking for customized solutions, Vantron saw more and more customers looking for interconnectivity through the cloud so that they could access and interact with their equipment remotely
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